Deep compressed sensing MRI via a gradient-enhanced fusion model.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16164
Abstract: BACKGROUND Compressed sensing has been employed to accelerate magnetic resonance imaging by sampling fewer measurements. However, conventional iterative optimization-based CS-MRI are time-consuming for iterative calculations and often share poor generalization ability on multi-contrast datasets. Most… read more here.
Keywords: fusion; fusion model; compressed sensing; gradient ... See more keywords
Gradient-enhanced continuum models of healing in damaged soft tissues
Sign Up to like & getrecommendations! Published in 2019 at "Biomechanics and Modeling in Mechanobiology"
DOI: 10.1007/s10237-019-01155-z
Abstract: Healing of soft biological tissue is the process of self-recovering or self-repairing the injured or damaged extracellular matrix (ECM). Healing is assumed to be stress-driven, with the objective of returning to a homeostatic stress metrics… read more here.
Keywords: gradient enhanced; soft tissues; models healing; enhanced continuum ... See more keywords
An Overview of Gradient-Enhanced Metamodels with Applications
Sign Up to like & getrecommendations! Published in 2019 at "Archives of Computational Methods in Engineering"
DOI: 10.1007/s11831-017-9226-3
Abstract: Metamodeling, the science of modeling functions observed at a finite number of points, benefits from all auxiliary information it can account for. Function gradients are a common auxiliary information and are useful for predicting functions… read more here.
Keywords: kernel based; overview gradient; enhanced metamodels; gradient enhanced ... See more keywords
Efficient uncertainty quantification for a hypersonic trailing-edge flap, using gradient-enhanced kriging
Sign Up to like & getrecommendations! Published in 2018 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2018.06.036
Abstract: Abstract We present a numerical study on the uncertainty quantification (UQ) of aerodynamic forces acting on a hypersonic trailing-edge flap model, as a result of input uncertainties in the experimental boundary conditions. The complex fluid–thermal-structural… read more here.
Keywords: gradient enhanced; trailing edge; uncertainty quantification; gradient ... See more keywords
Efficient Deep Learning for Gradient-Enhanced Stress Dependent Damage Model
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DOI: 10.3390/app10072556
Abstract: This manuscript introduces a computational approach to micro-damage problems using deep learning for the prediction of loading deflection curves. The location of applied forces, dimensions of the specimen and material parameters are used as inputs… read more here.
Keywords: gradient enhanced; damage model; deep learning; damage ... See more keywords
A Gradient-Enhanced L1 Approach for the Recovery of Sparse Trigonometric Polynomials
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Computational Physics"
DOI: 10.4208/cicp.oa-2018-0006
Abstract: In this paper, we discuss a gradient-enhanced l1 approach for the recovery of sparse Fourier expansions. By gradient-enhanced approaches we mean that the directional derivatives along given vectors are utilized to improve the sparse approximations.… read more here.
Keywords: gradient enhanced; enhanced approach; sparse; gradient ... See more keywords